Abstract
The purpose of this study was to evaluate the activity of cyadox against Clostridium perfringens in swine and optimize the dosage regimen using ex vivo pharmacokinetic-pharmacodynamic (PK-PD) modeling. After oral administration, the ileum fluid of pigs containing the free cyadox was collected by implanted ultrafiltration probes. The Tmax, AUC24h, and CL/F of free cyadox in the ileum fluid were 1.96 h, 106.40 μg/h/mL, and 0.27 L/kg/h, respectively. Cyadox displayed a concentration-dependent killing action against C. perfrignens. The minimum inhibitory concentration (MIC) of cyadox against 60 clinical isolates ranged from 0.5 to 8 μg/mL, with MIC50 and MIC90 values of 2 and 4 μg/mL, respectively. The MIC was 2 μg/mL against the pathogenic C. perfrignens isolate CPFK122995 in both broth and ileum fluid. According to the inhibitory sigmoid Emax modeling, the AUC24h/MIC ratios of ileum fluid required to achieve the bacteriostatic, bactericidal, and virtual bacterial elimination effects were 26.72, 39.54, and 50.69 h, respectively. Monte Carlo simulations for the 90% target attainment rate (TAR) predicted daily doses of 29.30, 42.56, and 54.50 mg/kg over 24 h to achieve bacteriostatic, bactericidal, and elimination actions, respectively. The results of this study suggest that cyadox is a promising antibacterial agent for the treatment of C. perfringens infections, and can be used to inform its clinical use.
Introduction
Clostridium perfringens is a serious enteric pathogen affecting pigs, especially the toxigenic types A and C1–4. Clostridium perfringens-associated enteropathy is a highly lethal disease of the digestive system characterized by diarrhea and hemorrhagic and necrotic enteritis in piglets, associated with a high mortality rate, decreased daily weight gain, increased feed conversion ratio, and devastating economic losses for the livestock industry1, 5. Moreover, the high infection rate of C. perfringens in pigs, combined with the risk of transmission to the human food chain, represents a public health hazard6, 7. Increasing attention has been focused on the control of this disease. Unfortunately, conventional drugs achieve unsatisfactory clinical efficacy because the bacteria readily develop widespread resistance8–11. The incidence of resistance for tetracycline and minocycline against C. perfringens isolated from different animal sources has been reported to be 33–73% and 17–40%, respectively12. A study by Rood et al. that evaluated 258 strains isolated from pigs provided antibiotic-containing feed found that 200 strains were resistant to tetracycline and 58 strains were simultaneously resistant to erythromycin, clindamycin, and lincomycin9. According to a report by Slavic, 28% and 31% of pig-derived strains isolated in Ontario exhibited reduced susceptibility to clindamycin and erythromycin, respectively8. Therefore, it is necessary to find novel alternative antimicrobial compounds in order to combat the increasing emergence of resistance to available antibiotics.
Cyadox (Fig. 1) is a derivative of the synthetic quinoxaline-1,4-di-N-oxides (QdNOs), which have been used in animal production as a potent antimicrobial agent against most pathogenic bacteria since it was first introduced in the 1970s13–15. Previous studies have demonstrated that cyadox possesses excellent antibacterial activity against enteric pathogens of animal origin such as Salmonella and Escherichia coli 16. Cyadox is hypoxia-selective drug that exhibits much stronger activity in the absence of oxygen17, 18. Therefore, cyadox may be active against C. perfringens, an obligate anaerobe pathogen. Importantly, when compared with its well-known congeners carbadox and olaquindox, cyadox shows much lower toxicity and higher safety according to systematic toxicological and microbiological safety evaluations19–23. Cyadox is expected to have potential wide applications for controlling enteric disease caused by C. perfringens.
When developing and evaluating new antimicrobial drugs, optimizing the dosage schedule is essential to achieve clinical cures, in addition to minimizing the emergence of antimicrobial drug resistance. Pharmacokinetic-pharmacodynamic (PK-PD) modeling reflects the relationship between the drug, bacteria, and the animal affected, as well as quantifying the potency and efficacy of antimicrobials against target pathogens. Pharmacokinetic-pharmacodynamic analysis has become an important tool for determining the optimal dosage regimen24, 25. Furthermore, both the US Food and Drug Administration (FDA) and European Medicine Agency have recommended assessing the PK/PD relationship for new antimicrobial compounds25.
It is generally recognized that the concentration of the free form of an antibiotic at the infection site is responsible for its antibacterial effect26, especially for local infection. Due to the difficulty in determining the free drug concentration at the target site, the PK data in most previous PK-PD studies have often been obtained from plasma. It has been shown that the antibiotic concentration time-course in plasma is significantly different from that in biophase at the infection site, including the interstitial fluid (ISF) and epithelial lining fluid (ELF)27–29. Therefore, it is necessary to determine the active concentration of free antimicrobial drugs at the target site using PK-PD modeling to achieve a rational dosage regimen. Previous studies have reported the application of an ultrafiltration sampling technique for isolating the free (unbound) drug in the gastrointestinal tract of calves, and in the ISF of different tissues (e.g., intramuscular, subcutaneous, and intrapleural tissues) of calves, sheep, and pigs27, 28, 30, 31.
In this study, the antibacterial activity of cyadox against pathogenic C. perfringens of pig origin was investigated, and the recommended daily dose was calculated based on PK-PD modeling following the collection of free cyadox in the small intestine by ileum ultrafiltration probes. The aim of this study was to evaluate the effectiveness of cyadox for the treatment of C. perfringens-associated enteropathy in order to inform its clinic use.
Results
Minimum inhibitory concentration distribution of cyadox against clinical stains of Clostridium perfringens
The minimum inhibitory concentration (MIC) distribution of cyadox against the sixty clinical strains of C. perfringens is shown in Fig. 2. The MIC values ranged from 0.5 to 8 μg/mL. The corresponding MIC50 and MIC90 were 2 and 4 μg/mL, respectively, suggesting that cyadox displays a potent antibacterial effect against anaerobic C. perfringens.
Minimum inhibitory concentration, minimum bactericidal concentration, and post-antibiotic effect of cyadox against CPFK122995
The pathogenic CPFK122995 strain with an MIC close to the MIC50 was chosen as the representative strain to investigate the antibacterial activity of cyadox in vitro and ex vivo. The MIC and minimum bactericidal concentration (MBC) values of cyadox against C. perfringens CPFK122995 were 2 and 4 μg/mL in Brucella broth and 2 and 8 μg/mL in pig ileum fluid, respectively. The MBC/MIC ratios were 2:1 and 4:1, respectively, suggesting a relatively gentle concentration-effect relationship of cyadox. The mutant prevention concentration (MPC) of cyadox against CPFK 122995 was 12 μg/mL. The mean post-antibiotic effect (PAE) values following exposure to different concentrations of cyadox for 1 and 2 h are shown in Table 1.
Table 1.
Drug concentration (μg/mL) | PAE (h) | |
---|---|---|
Exposure of 1 h | Exposure of 2 h | |
2 (1 × MIC) | 0.85 | 1.26 |
4 (2 × MIC) | 0.99 | 1.87 |
8 (4 × MIC) | 1.02 | 2.35 |
In vitro and ex vivo antimicrobial activity
The in vitro time-kill curves of cyadox against C. perfringens CPFK122995 are illustrated in Fig. 3. According to the profiles, cyadox displayed a concentration-dependent bactericidal effect as increasing drug concentrations induced more rapid and radical killing effects. Persisting inhibition of bacterial growth was observed only within the first 6 h for the Brucella broth containing a drug concentration lower than 2 × MIC. When C. perfringens was exposed to cyadox at a concentration equal to or higher than 2 × MIC, the bacteria were significantly decreased to the undetectable level (≤10 CFU/mL) after 24 h of incubation.
The ex vivo kill curves of cyadox against C. perfringens CPFK122995 in the ileum fluid of pigs after oral administration are shown in Fig. 4. The bacteria were drastically reduced to the undetectable limit (<10 CFU/mL) after exposure to the ileum fluid collected between 1.5–8 h after oral administration, suggesting that cyadox exhibited a concentration-dependent killing mechanism in the ex vivo environment, consistent with the in vitro bactericidal effect. Slight regrowth of bacteria exposed to the ileum fluid samples collected at 1.5 and 12 h after oral administration was observed after incubation for 6 h.
Pharmacokinetics of cyadox in the plasma and intestinal tract
The mean concentrations of cyadox in the plasma and ileum fluid after oral administration at a dose of 30 mg/kg are presented in Fig. 5. The plasma drug concentrations were found to contain both free and protein-bound cyadox, whereas only the microbiologically active free drug was found in the ileum fluid collected using the ultrafiltration probe. The absorption of cyadox after oral administration was limited, reaching the maximum plasma concentration (Cmax = 0.031 μg/mL) at 2.41 h. After this point, the concentration of the drug quickly decreased to the quantification limit (0.02 μg/mL) by 12 h. The pharmacokinetic parameters derived from non-compartmental analysis are presented in Table 2, and the area under the concentration-time curve (AUC)0–24h of plasma was 0.22 μg/h/mL. Compared to the cyadox concentration in plasma, the concentration in the ileum fluid was markedly higher, with a Cmax of 23.66 μg/mL at 1.96 h, and the AUC0–24h (106.40 μg/h/mL) was also much higher. The distribution and elimination of cyadox in the ileum fluid were rapid, with a T1/2λ of 5.86 h (Table 2).
Table 2.
Variables (units) | Plasma | Ileum fluid |
---|---|---|
Cmax (μg/mL) | 0.03 ± 0.03 | 23.66 ± 0.92 |
Tmax (h) | 2.41 ± 1.32 | 1.96 ± 0.03 |
T1/2 λz (h) | 3.61 ± 1.87 | 5.86 ± 0.71 |
AUC0–last (μg ∙ h/mL) | 0.22 ± 0.16 | 106.40 ± 12.68 |
AUC0–∞ (μg ∙ h/mL) | 0.26 ± 0.21 | 112.35 ± 14.07 |
AUMC0–last (μg ∙ h2/mL) | 1.14 ± 0.42 | 568.49 ± 110.27 |
AUMC0–∞(μg ∙ h2/mL) | 1.86 ± 0.92 | 743.23 ± 165.71 |
MRT0–last (h) | 5.19 ± 3.21 | 5.34 ± 0.39 |
Notes: The pharmacokinetic parameters were calculated by non-compartment model.
Pharmacokinetic-pharmacodynamic integration and modeling
The PK-PD parameters obtained from integration of the in vivo PK data with the in vitro MIC and MPC values are shown in Table 3. The ex vivo AUC0–24h/MIC and AUC0–24h/MPC ratios of cyadox against C. perfringens CPFK122995 were 66.39 and 11.07 h, respectively. The times required for the drug concentration in the ileum fluid to become higher than the MIC (T > MIC) and MPC (T > MPC) were 10.92 and 3.65 h, respectively. The mean Cmax/MIC and Cmax/MPC ratios of cyadox in the ileum fluid were 10.79 and 5.40, respectively.
Table 3.
Parameters | Units | Mean ± SD |
---|---|---|
Cmax/MIC | — | 10.79 ± 0.82 |
AUC0–24h/MIC | h | 66.39 ± 12.47 |
T > MIC | h | 10.92 ± 2.54 |
Cmax/MPC | h | 1.80 ± 0.25 |
AUC0–24h/MPC | h | 11.07 ± 1.53 |
T > MPC | h | 3.65 ± 0.83 |
The relationship between the antimicrobial efficacy and the ex vivo PK/PD parameter of AUC0–24h/MIC ratios was fitted by using the inhibitory sigmoid Emax model. The model parameters, including the Hill coefficient (N), E0, Emax, and AUC0–24h/MIC values for the three levels of growth inhibition are presented in Table 4. As shown in Fig. 6 and Table 4, the AUC0–24h/MIC values for bacteriostatic activity (E = 0), bactericidal activity (E = −3), and a virtual elimination effect (E = −4) were 26.72, 39.54, and 50.69 h, respectively.
Table 4.
Parameters | Units | Values |
---|---|---|
Emax | Log CFU/mL | 2.71 ± 0.37 |
E0 | Log CFU/mL | −4.61 ± 0.69 |
Emax−E0 | Log CFU/mL | 7.32 ± 1.06 |
EC50 | h | 30.07 ± 6.94 |
N (slope) | / | 4.62 ± 0.72 |
AUC24h/MIC for bacteriostatic effect | h | 26.72 ± 6.28 |
AUC24h/MIC for bactericidal effect | h | 39.54 ± 7.31 |
AUC24h/MIC for eradication effect | h | 50.69 ± 9.16 |
Predicted daily dosage
The predicted daily doses based on the distribution of the CL/F and AUC0–24h/MIC ratios for the three levels of antibacterial effects derived from PK/PD modeling and MIC distributions are presented in Table 5. The doses predicted to obtain bacteriostatic, bactericidal, and elimination effects for C. perfringens over 24 h were 13.2, 19.70, and 25.46 mg/kg for the 50% target attainment rate (TAR), and 29.30, 42.56, and 54.50 mg/kg for 90% TAR.
Table 5.
Predicted daily doses | Target attainment rate | |
---|---|---|
50% | 90% | |
Bacteriostatic (E = 0) | 13.2 | 29.3 |
Bactericidal (E = −3) | 19.70 | 42.56 |
4log10 reduction in count (E = −4) | 25.46 | 54.50 |
Discussion
Clostridium perfringens is an anaerobic, spore-forming bacterium that produces a variety of toxins, responsible for a wide range of diseases in humans and animals for food purposes32. Moreover, the control of C. perfringens is very difficult due to the rapid growth and resistance of pathogenic bacteria to commonly used antimicrobial drugs, resulting from overuse and misuse33. Therefore, new antimicrobial agents, particularly those without cross-resistance to existing drugs, are required to effectively manage necrotic enteritis. Cyadox, a candidate of the important QdNOs, represents a promising antibacterial agent for the treatment of necrotic enteritis. This is due to the demonstrated hypersensitivity of clinical C. perfringens strains to this antibiotic combined with the reduced likelihood of cross-resistance to commonly used antimicrobial drugs, as cyadox works via a different antibacterial mechanism. In this study, the MIC50 and MIC90 of cyadox were found to be 2 and 4 μg/mL, respectively, suggesting that cyadox possesses a satisfactory potency against the 60 isolates tested. Moreover, non-bimodal distributions with low MIC values were observed (Fig. 2), indicating that resistance of the tested isolates did not emerge. Based on the results of the susceptibility test, cyadox is expected to be an ideal drug for the treatment of necrotic enteritis in swine. In order to determine the rational dosage regimen, the ex vivo PK/PD relationship of cyadox against C. perfringens in the small intestinal fluid of pigs was evaluated.
Firstly, the highly pathogenic clinical isolate CPFK122995 was selected in accordance with a pathogenicity experiment conducted on mice (data not shown) in order to study the in vitro and ex vivo pharmacodynamics. The MICs obtained for the Brucella broth and ileum fluid were not significantly different, indicating that the composition of the growth matrix does not affect the antibacterial activity of cyadox. The kill curve and PAE showed that cyadox has bactericidal activity against C. perfringens, demonstrating that this antibiotic is concentration-dependent and has a certain PAE (0.85–2.35 h). Against CPFK122995, cyadox resulted in a >4log10 reduction in viable bacterial count after 24 h of exposure, with the viable counts typically reduced to lower than the LOD of the assay. As cyadox was found to be a concentration-dependent antibiotic, the ex vivo AUC/MIC should be selected for PK-PD modeling, according to the reports. The regrowth phenomenon of bacteria after incubation for 6 h occurred in vitro killing curves when the concentration below the MBC and in ex vivo killing curves when they exposed to the ileum fluid sample collected at 1.5 and 12 h after oral administration might be due to the growth vigor recovery of suppressed bacterial as the degradation of antibiotic during incubation. Elisabet et al. confirmed that the degradation of antibiotic was statistically significant during incubation in time-kill curve experiments34.
Secondly, the PK of cyadox at the target site (ileum fluid) was studied in healthy pigs. Furthermore, experts have emphasized that measurement of unbound biological drug concentrations, not total drug concentrations, is important for evaluating the antimicrobial activity35. Therefore, the active unbound drug concentrations were determined in the current study to provide a better correlation with the microbiological outcome from PK-PD modeling. C. perfringens types A and C are the principal enteric pathogens of swine and could induce disease when they are proliferated to 108 to 109 CFU/g in gastrointestinal contents under appropriate conditions1. This study investigated the PK of free cyadox in the gastrointestinal tract (GIT) of pigs for the first time, achieved via pre-implanted ultrafiltration probes. The in vivo ultrafiltration intestinal microsampling technique was found to be an effective method for collecting the free drug in the GIT of pigs following oral administration of cyadox. The probes had no postoperative complications, were well tolerated by pigs, and provided the ability to obtain an adequate number of sequential protein-free ileum fluid samples without having to sacrifice animals or risk leakage, dislodgement, and peritonitis36. More importantly, the in vivo ultrafiltration probes allowed the target animals to maintain a normal physiological state, which is advantageous as a more accurate PK study can be achieved37.
In the PK study, the Cmax and AUC24h of cyadox in plasma were found to be 0.031 μg/mL and 0.22 μg/h/mL after oral administration at a dose of 30 mg/kg. These results are consistent with Zhao, who reported that the Cmax and AUC24h of cyadox in plasma were 0.043 μg/mL and 0.38 μg/h/mL, respectively, after an oral dose of 40 mg/kg38. Compared to plasma, the drug concentrations in the ileum fluid were significantly higher with Cmax and AUC24h values of 23.66 μg/mL and 106.40 μg/h/mL, respectively. The large difference in cyadox concentrations between these sample types may be due to the high amount of biliary excretion or limited absorption after oral administration. The high drug concentrations in the ileum indicated that cyadox could have a favorable antibacterial effect in the GIT after oral administration39. Furthermore, the values for terminal elimination half-life (T1/2 λz) and Tmax in the ileum fluid were 5.86 and 1.96 h, respectively. According to the PK in the ileum fluid, cyadox appears to be suitable for the treatment of GIT in pigs (e.g., necrotic enteritis).
Pharmacokinetic-pharmacodynamic integration and modeling, which could represent a better approach compared to dose titration studies for formulating rational dosage regimens in veterinary medicine, was established to determine the rational dosage regimen of cyadox for necrotic enteritis therapy.
For the PK/PD integration process, the PK parameters for free cyadox in the ileum fluid were integrated with the MIC data (in vitro and ex vivo) using CPFK122995 as a typical pathogenic strain of C. perfringens. The PD data from the ileum fluid were used to predict clinically relevant dosage regimens as the ileum fluid is a more clinically relevant matrix than broth. The ileum fluid samples were collected by the implanted ultrafiltration devices since the C. perfringens types A often resides in the jejunum and ileum of pig1. The cannulation collection devices were usually used to collect the ileum contents of swine for the measurements of the effects of antibiotics on intestinal bacteria36. For example, Wang et al. use this device to study on PK/PD modeling of enrofloxacin against E. Coli in swine40. Unfortunately, the method could not effectively separate the total and free drug. In recently, Foster et al. found that the implanted ultrafiltration devices was a useful tool to collect the free drug in ileum and colon fluid of calves for measuring the antibacterial effect on enteric bacteria Enterococcus faecalis or Salmonella entarica 27. The values for Cmax/MIC, AUC/MIC, and T > MIC were 10.79, 66.39, and 3.65 h, respectively. In terms of the antibacterial properties of cyadox against C. perfringens, the inhibitory sigmoidal Emax model was used to model the PK/PD. The dose-response profile of cyadox showed a significant correlation between the observed and predicted profile with the ex vivo antibacterial efficacy against C. perfringens (R2 = 0.999). Based on the equation, the ex vivo AUC0–24h/MIC ratios required to achieve the three levels (bacteriostatic, bactericidal, and virtual elimination effect) of antibacterial activity in the ileum fluid of pigs were 26.72, 39.54, and 50.69 h, respectively. The in vivo AUC0–24h/MIC ratio (66.39 h) was higher than the ex vivo AUC0–24h/MIC ratio required for the bactericidal effect against the C. perfringens CPFK122995 isolate, with a MIC value of 2 μg/mL. This suggests that the administered daily dose of 30 mg/kg body weight could guarantee clinical efficacy against infections associated with C. perfringens, with a MIC50 value of 2 μg/mL. According to the dosage calculation equation, the central tendency and measure of dispersion of the PK parameters and the MICs against clinic isolates are required to describe the possible range of clinical dosages. Based on the Monte Carlo simulations, the predicted daily dose for 50% TAR and 90% TAR to provide a 3log10 reduction in bacterial count were found to be 19.70 and 42.56 mg/kg, respectively. However, it should be noted that the bacterial endpoint under in vivo conditions may differ from the predicted dose based on ex vivo data, as the host’s immune system is likely to be an important factor contributing to bacterial eradication37. For the Monte Carlo simulation, it is necessary to obtain PK parameters from a large population of animals. The small sample size used to calculate the PK parameters in this study might represent a limitation in terms of the conclusions that can be drawn from the simulations.
Conclusions
The high concentration of cyadox found in the intestinal tract of pigs, combined with the high susceptibility of clinical C. perfringens isolates, suggests that cyadox is a promising drug for the treatment of C. perfringens infections. The unbound drug present in the intestinal fluid was collected by pre-implanted ultrafiltration probes, then used to simulate the rational clinic dosage using the PK-PD modeling in order to obtain a more effective dosage. The doses predicted to achieve bacteriostatic, bactericidal, and elimination effects against C. perfringens over 24 h were 13.2, 17.90, and 25.46 mg/kg for 50% TAR, and 29.30, 42.56, and 54.50 mg/kg for 90% TAR. The calculated recommended dose could assist in achieving more precise administration, increasing the effectiveness of treatment for C. perfringens infections while also avoiding resistance emergence. However, the suggested dose regimens should be validated in clinical practice.
Materials and Methods
Chemicals and reagents
Cyadox (99.8%) was provided by the Institute of Veterinary Pharmaceuticals (HZAU, Wuhan, China). Dimethyl sulfoxide (DMSO) was obtained from Amresco. Sodium carboxymethyl cellulose (CMC) was purchased from Sigma-Aldrich Chemie B.V. (Zwijndrecht, The Netherlands). Acetonitrile, formic acid, ethyl acetate, methanol, and dichloromethane were obtained from Tedia (OH, USA). Water was prepared with a Milli-Q system (Millipore, Bedford, MA, USA). All chemicals used in this experiment were analytical grade or higher.
Bacteria
Sixty strains of C. perfringens isolated from pig farms in the Guangdong province of China were provided by the Department of Veterinary Pharmacology at South China Agricultural University. Bacterioides fragilis ATCC 25285, purchased from American Type Culture Collection (ATCC), served as the quality control for MIC determination. All strains were stored at −80 °C until use. Before each experiment, all bacterial cultures were subcultured on Brucella blood agar and incubated at 37 °C for 18–24 h.
Animals
Six healthy, castrated, crossbred (Duroc × Large White × Landrace) pigs (weighing 15–20 kg) were purchased from the Livestock and Poultry Breeding Center of Hubei Province (Wuhan, China). The pigs were kept separately in all-steel cages and provided ad libitum access to water and antibiotic-free feed for 1 week to acclimatize. The temperature and relative humidity of the housing environment were kept at 18–25 °C and 45–65%, respectively. The use of pigs and all experimental protocols in this study were approved by the Institutional Animal Care and Use Committee at Huazhong Agricultural University (approval number HZAUSW-2016-007). Medical measures such as anesthetics were used to alleviate animal suffering and guarantee animal welfare during the trial.
Ultrafiltration probe surgical procedure
Surgical implantation of the ileum ultrafiltration probe was conducted according to Warren et al. by a practicing veterinarian41. Briefly, food and water were withheld from the pigs for 24 h prior to surgery. A14G venous indwelling needle was initially placed in the auricular vein of each pig. The animals were premedicated by intravenous administration of 0.1 mg/kg xylazine and flunixin. General anesthesia was induced by slowly injecting sodium pentobarbital saline via the intravenous indwelling needle. Once anesthetized, each pig was placed in the left lateral recumbency position on the operating table, then the right paralumbar fossa was clipped and scrubbed for sterile surgery. A vertical 10 cm skin incision was made approximately equidistant from the last rib to the tuber coxae in the paralumbar fossa. The collecting loops of an ultrafiltration probe (UF-3-12; BAS, West Lafayette, IN, USA) were then inserted into the lumen of the ileum, approximately 30 cm orad to the ileocecal orifice, and sutured into place, and the free ends of the probe were exteriorized cranial to the skin incision. Finally, the paralumber incision was closed in three layers. After the pigs had woken from anesthesia, the probes were prepared to collect fluid samples from the ileum of each animal.
Animal study
Each pig was administered a single oral dose of cyadox (50 mL of a cyadox CMC suspension) at a dose of 30 mg/kg 48 h after surgery. The ileum fluid samples obtained using the probes placed in the ileum were collected by changing the vacutainer tubes, and blood samples were collected from the jugular catheter into heparinized tubes. Samples were collected 0, 0.5, 1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 12, and 24 h after drug administration. During the experimental period, pigs were allowed ab libitum water and antibiotic-free feed.
Sample extraction
For the plasma extraction, 1 mL of the collected sample was mixed with 3 mL ethyl acetate and vortexed for 3 min. The supernatant was collected after centrifugation for 10 min at 8000 g and 4 °C, and the extraction was repeated. The supernatants obtained from the two extractions were mixed, then evaporated to dryness at 50 °C under nitrogen. The residue obtained after evaporation was reconstituted in 0.2 mL of mobile phase under vortex, filtered through a 0.22-μm membrane, then injected into a high-performance liquid chromatography (HPLC) instrument for detection.
For the ileum sample extraction, 2 mL of a solution containing metaphosphoric acid:methanol:water (1:50:49 v/v/v) was added to 0.2 mL of ileum fluid for cyadox extraction. The sample was extracted twice into sealed 10-mL tubes by firstly shaking for 10 min then centrifuging at 8000 g to collect the supernatant. The collected supernatant was back-extracted using 5 mL dichloromethane under vortex. After being left to stand for 3 min, the lower layer liquid was pooled and then dried under nitrogen at 50 °C. The residue was redissolved in 0.2 mL of mobile phase under vortex. The sample was injected into the HPLC detection vial after filtration through a 0.22-μm membrane.
High-performance liquid chromatography method for cyadox determination
The cyadox present in the plasma and ileum fluid samples after extraction was analyzed using a Waters 2695 series HPLC and a Waters 2487 UV detector set at a wavelength of 306 nm, as described previously42. An Agilent ZORBAX SB-C18 column (250 × 4.6 mm i.d., 5 μm; Agilent Technologies, Santa Clara, CA, USA) was used for separation. The mobile phases were 0.1% formic acid and acetonitrile. The injection volume and flow rate were 20 μL and 1 mL/min, respectively.
The specificity of the cyadox detection method was good, and there was no endogenous interference on the chromatograms. The linear range for the standard curve of cyadox ranged from 0.02 to 0.5 μg/mL (r2 > 0.999) in plasma and 0.1 to 30 μg/mL (r2 > 0.999) in ileum fluid. The limits of quantification (LOQ) were 0.02 μg/mL in plasma and 0.1 μg/mL in ileum fluid. The mean recovery of cyadox was > 85% in the plasma and ileum samples. The coefficient of variability (CV%) was < 15% for both intra- and inter-day variation.
Pharmacokinetic parameter analysis
The concentration-time data for cyadox in the ileum ultrafiltration fluid and plasma samples were analyzed for individual pigs by non-compartmental analysis (WIN-NONLIN; Pharsight Corporation, Mountain View, CA, USA) using the statistical moment approach43. The AUC of the intestinal concentration from 0 to 24 h were calculated by the linear trapezoidal method. The mean residence time (MRT) was determined as AUMC (area under the first moment curve)/AUC in non-compartmental analysis.
Determination of minimum inhibitory concentration of cyadox against clinical strains of Clostridium perfringens
A total of 60 clinical isolates collected from the Guangdong province of China were studied. The MICs of these strains were determined under anaerobic conditions in accordance with the double dilution agar method described by the Clinical and Laboratory Standard Institutes (CLSI; M11-A8). The strains were inoculated onto the supplemented Brucella agar plates using a steer multipoint inoculator to obtain a final concentration of approximately 105 CFU/spot. After inoculation, the plates were incubated under anaerobic conditions (85% N2, 10% CO2, and 5% H2) for 48 h at 37 °C to determine the MICs. The MIC was defined as the lowest concentration that yielded no visible growth or a marked reduction in growth compared to the growth controls. The test strains were cultured in parallel to a control strain under both anaerobic and aerobic conditions. Bacteroides fragilis ATCC 25285 served as the quality control strain. The MIC50, and MIC90 were calculated using SPSS 16.0.
Determination of minimum inhibitory concentration, minimum bactericidal concentration, mutant prevention concentration, and post-antibiotic effect of the CPFK 122995 isolate
The MIC and MBC for the CPFK 122995 isolate with the highest pathogenicity were determined in vitro and ex vivo using the microdilution technique. Determination of MBC was performed by inoculating the supplemented Brucella agar plate with 100 μL of suspension from the initial MIC testing with no obvious bacteria. Inoculated plates were inverted and incubated under anaerobic conditions. Viable cells were counted after overnight incubation, and the MBC was determined as the concentration that reduced the viable organism count by ≥3log10 over 24 h. The drug carryover effect was reduced by ≥250-fold sample dilution into the agar plate.
The MPC of cyadox was determined using the agar dilution method. For each of the C. perfringens strains, 1010 CFU/mL was inoculated onto the supplemented Brucella agar plates containing serial dilutions of cyadox (1 × MIC, 2 × MIC, 4 × MIC, 8 × MIC, 16 × MIC, and 32 × MIC). The plates were then incubated in an anaerobic chamber at 37 °C, and the MPC was defined as the lowest concentration that yielded no visible bacterial growth after 72 h.
For the PAE determination, logarithmically growing cultures of C. perfringens at an initial inoculum of 1 × 106 CFU/mL were exposed to a cyadox concentration equivalent to 1-, 2-, and 4-times the MIC for 1 or 2 h. The media containing cyadox was removed by 1000-fold dilution with broth medium, and the continued suppression of bacterial growth was monitored over time. The PAE was defined as the time required for the antimicrobial-treated bacterial to increase in number by 1log10 CFU/mL minus the value determined for the non-treated cultures of the same bacteria.
In vitro and ex vivo time-kill study
The in vitro kill curves of cyadox against C. perfringens were established by plotting time versus log10 CFU/mL. The CPFK122995 strain from a mid-log phase culture was added to 10 mL of Brucella broth to give a starting inoculum of 106 CFU/mL. Cyadox was added to obtain serial concentrations corresponding to 1/4 × MIC, 1/2 × MIC, 1 × MIC, 2 × MIC, 4 × MIC, 8 × MIC, 16 × MIC, and 32 × MIC. The tubes were placed in a 37 °C anaerobic chamber and the bacterial count (CFU/mL) was determined by the agar dilution method for each tube after incubation for 1, 2, 4, 6, 8, 12, and 24 h. Briefly, each culture sample was subjected to 10-fold serial dilutions with sterile saline, then 100 μL of each dilution was spread onto the agar plates. The plates were incubated at 37 °C under anaerobic conditions, and the viable colonies were counted after 24 h. Each concentration was tested in triplicate. The limit of detection was 10 CFU/mL.
The ex vivo kill curves were determined as described above using the intestinal fluid samples obtained from pigs at different time points after oral administration. The tubes containing the bacterial cultures and sterile intestinal fluid samples were incubated at 37 °C under anaerobic conditions, and the number of viable organism was determined after 1, 2, 4, 8, 12, and 24 h. Results were expressed as CFU/mL with a detection limit of 10 CFU/mL.
Pharmacokinetic-pharmacodynamic integration and modeling
To determine the PK/PD integration of cyadox in the ileum fluid, parameters representing the bacteriological outcome including T > MIC (time for which cyadox concentration is above the MIC), maximum concentration (Cmax)/MIC ratio, and AUC over 24 h (AUC0–24h)/MIC ratio were calculated using in vitro MIC and in vivo PK parameters.
For PK/PD modeling, AUC0–24h/MIC data obtained from ex vivo bacterial kill curves over 24 h were modeled using the inhibitory sigmoid Emax model. The model was described by the Hill equation (1):
1 |
where E is the antibacterial effect measured as the change in log10 CFU/mL in the ileum fluid sample after 24 h incubation compared to the initial inoculum, E max is the maximum effect of cyadox (log10 CFU/mL reduction) after 24 h incubation in the ileum fluid sample compared to the initial inoculum, E 0 is the antibacterial effect (change in log10 CFU/mL) after 24 h of incubation in a drug-free pig ileum fluid sample, EC 50 is the AUC0–24h/MIC of cyadox required to produce 50% of the maximum antibacterial effect, C is the AUC0–24h/MIC of cyadox in the effect compartment (ex vivo site), and N is the Hill coefficient describing the slope of the AUC0–24h/MIC relationship. The PK/PD parameters of the Hill equation were calculated using non-linear regression software (WinNonlin, 5.2; Pharsight Corporation).
Based on the results of PK-PD modeling for the relationship between AUC0–24h/MIC and the ex vivo antibacterial effect, three levels were quantified to describe the antibacterial effect of cyadox administration, including: (1) bacteriostatic action (no change in bacteria count, E = 0), (2) bactericidal action (99.9% reduction in bacterial count, E = −3), and (3) bacterial elimination (99.99% reduction in bacterial count, E = −4).
Daily dosage prediction
Assuming pharmacokinetic linearity, the predicted daily doses were calculated by equation44, 45 (2):
2 |
where CL is the clearance per day, (AUC/MIC) BP is the targeted endpoint for optimal efficacy in hours, the MIC is the target pathogen, F is the bioavailability factor (from 0 to 1), and fu is the free fraction of the drug (from 0 to 1). In this study, the F and fu = 1. The daily dose was computed by Monte Carlo Simulations using Oracle Crystal Ball software (Oracle Corporation, Redwood Shores, CA, USA) with the following data inputs: (1) the distribution of Cl/F obtained for six individual pigs in the pharmacokinetic study; (2) ileum fluid AUC0–24h/MIC ratios obtained from PK-PD modeling; and (3) the distribution of MIC values for the clinical isolates. The probabilities of distribution for daily doses were run for 100,000 trails. The daily dose required to achieve TAR of 50% and 90% for bacteriostatic, bactericidal and bacterial elimination effects were determined.
Statistical analyses
Data are presented as mean ± SEM or SD. The arithmetic, geometric and harmonic means were determined, as appropriate, for each pharmacokinetic variable. Differences between the ileum fluid and plasma samples were determined by ANOVA using Prism software (Graphpad Software Inc., London, UK).
Ethics statement
The use of pigs in this study was conducted according to the Animal Experiment Ethical Inspection of Laboratory Animal Center, Huazhong Agricultural University, Wuhan, China (HZAUSW-2016-007). All efforts were made to minimize the suffering of the animals.
Acknowledgements
This study was financially supported by the National Key Research and Development Program (grant 2016YFD0501310) and Veterinary drug residue warning technology import cooperation of livestock and poultry products (2014-S12).
Author Contributions
L.Y., Z.H.Y., and L.L.H. contributed to the conception of the study; L.Y., D.M.C., Y.H.P., Y.F.T., and W.Q. performed the experiments; L.Y., S.Y.X., Z.L.L., Z.H.Y., and L.L.H. contributed significantly to data analysis; L.Y., S.Y.X., D.M.C., Y.H.P., and Z.L.L. drafted the manuscript; Y.F.T., W.Q., Z.H.Y., and L.L.H revised the manuscript. All the authors approved the final version for publication and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
Lei Yan and Shuyu Xie contributed equally to this work.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Songer JG, Uzal FA. Clostridial enteric infections in pigs. Journal of veterinary diagnostic investigation: official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc. 2005;17:528–536. doi: 10.1177/104063870501700602. [DOI] [PubMed] [Google Scholar]
- 2.Chan G, et al. A retrospective study on the etiological diagnoses of diarrhea in neonatal piglets in Ontario, Canada, between 2001 and 2010. Canadian journal of veterinary research = Revue canadienne de recherche veterinaire. 2013;77:254–260. [PMC free article] [PubMed] [Google Scholar]
- 3.Chan G, Farzan A, Prescott JF, Friendship R. How do swine practitioners and veterinary pathologists arrive at a diagnosis of Clostridium perfringens type A enteritis in neonatal piglets? The Canadian veterinary journal. La revue veterinaire canadienne. 2013;54:504–506. [PMC free article] [PubMed] [Google Scholar]
- 4.Uzal FA, McClane BA. Recent progress in understanding the pathogenesis of Clostridium perfringens type C infections. Veterinary microbiology. 2011;153:37–43. doi: 10.1016/j.vetmic.2011.02.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lee KE, et al. Distribution of Clostridium perfringens isolates from piglets in South Korea. The Journal of veterinary medical science/the Japanese Society of Veterinary Science. 2014;76:745–749. doi: 10.1292/jvms.13-0430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Buzby JC, Roberts T. Economic costs and trade impacts of microbial foodborne illness. World health statistics quarterly. Rapport trimestriel de statistiques sanitaires mondiales. 1997;50:57–66. [PubMed] [Google Scholar]
- 7.Cichon A, Wieczorek K, Osek J. Role of Clostridium perfringens strains in human foodborne infections. Med. Weter. 2012;68:456–460. [Google Scholar]
- 8.Slavic D, et al. Antimicrobial susceptibility of Clostridium perfringens isolates of bovine, chicken, porcine, and turkey origin from Ontario. Canadian Journal of Veterinary Research-Revue Canadienne De Recherche Veterinaire. 2011;75:89–97. [PMC free article] [PubMed] [Google Scholar]
- 9.Rood JI, Maher EA, Somers EB, Campos E, Duncan CL. Isolation and characterization of multiply antibiotic-resistant Clostridum perfringens strains from porcine feces. Antimicrobial agents and chemotherapy. 1978;13:871–880. doi: 10.1128/AAC.13.5.871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rood JI, Buddle JR, Wales AJ, Sidhu R. The occurrence of antibiotic resistance in Clostridium perfringens from pigs. Australian veterinary journal. 1985;62:276–279. doi: 10.1111/j.1751-0813.1985.tb14251.x. [DOI] [PubMed] [Google Scholar]
- 11.Tansuphasiri U, Matra W, Sangsuk L. Antimicrobial resistance among Clostridium perfringens isolated from various sources in Thailand. The Southeast Asian journal of tropical medicine and public health. 2005;36:954–961. [PubMed] [Google Scholar]
- 12.Park M, et al. Phenotypic and genotypic characterization of tetracycline and minocycline resistance in Clostridium perfringens. Archives of microbiology. 2010;192:803–810. doi: 10.1007/s00203-010-0605-5. [DOI] [PubMed] [Google Scholar]
- 13.Carta A, Corona P, Loriga M. Quinoxaline 1,4-dioxide: a versatile scaffold endowed with manifold activities. Current medicinal chemistry. 2005;12:2259–2272. doi: 10.2174/0929867054864831. [DOI] [PubMed] [Google Scholar]
- 14.Ding MX, Yuan ZH, Wang YL, Zhu HL, Fan SX. Olaquindox and cyadox stimulate growth and decrease intestinal mucosal immunity of piglets orally inoculated with Escherichia coli. Journal of animal physiology and animal nutrition. 2006;90:238–243. doi: 10.1111/j.1439-0396.2005.00593.x. [DOI] [PubMed] [Google Scholar]
- 15.Ganley B, Chowdhury G, Bhansali J, Daniels JS, Gates KS. Redox-activated, hypoxia-selective DNA cleavage by quinoxaline 1,4-di-N-oxide. Bioorganic & medicinal chemistry. 2001;9:2395–2401. doi: 10.1016/S0968-0896(01)00163-8. [DOI] [PubMed] [Google Scholar]
- 16.Ding MX, Wang YL, Zhu HL, Yuan ZH. Effects of cyadox and olaquindox on intestinal mucosal immunity and on fecal shedding of Escherichia coli in piglets. Journal of animal science. 2006;84:2367–2373. doi: 10.2527/jas.2005-564. [DOI] [PubMed] [Google Scholar]
- 17.Cheng G, et al. Systematic and Molecular Basis of the Antibacterial Action of Quinoxaline 1,4-Di-N-Oxides against Escherichia coli. PloS one. 2015;10:e0136450. doi: 10.1371/journal.pone.0136450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Cheng G, et al. Quinoxaline 1,4-di-N-Oxides: Biological Activities and Mechanisms of Actions. Frontiers in pharmacology. 2016;7:64. doi: 10.3389/fphar.2016.00064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ihsan A, et al. Acute and subchronic toxicological evaluation of Mequindox in Wistar rats. Regulatory Toxicology and Pharmacology. 2010;57:307–314. doi: 10.1016/j.yrtph.2010.03.011. [DOI] [PubMed] [Google Scholar]
- 20.Ihsan A, et al. Genotoxicity evaluation of Mequindox in different short-term tests. Food and Chemical Toxicology. 2013;51:330–336. doi: 10.1016/j.fct.2012.10.003. [DOI] [PubMed] [Google Scholar]
- 21.Wang X, et al. Two generation reproduction and teratogenicity studies of feeding cyadox in Wistar rats. Food and Chemical Toxicology. 2011;49:1068–1079. doi: 10.1016/j.fct.2011.01.014. [DOI] [PubMed] [Google Scholar]
- 22.Wang X, et al. A chronic toxicity study of cyadox in Wistar rats. Regulatory Toxicology and Pharmacology. 2011;59:324–333. doi: 10.1016/j.yrtph.2010.11.004. [DOI] [PubMed] [Google Scholar]
- 23.Hao H, et al. Impact of cyadox on human colonic microflora in chemostat models. Regulatory toxicology and pharmacology: RTP. 2013;67:335–343. doi: 10.1016/j.yrtph.2013.08.011. [DOI] [PubMed] [Google Scholar]
- 24.Drusano GL. Pharmacokinetics and pharmacodynamics of antimicrobials. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2007;45(Suppl 1):S89–95. doi: 10.1086/518137. [DOI] [PubMed] [Google Scholar]
- 25.Nielsen EI, Friberg LE. Pharmacokinetic-pharmacodynamic modeling of antibacterial drugs. Pharmacological reviews. 2013;65:1053–1090. doi: 10.1124/pr.111.005769. [DOI] [PubMed] [Google Scholar]
- 26.Mouton JW, et al. Tissue concentrations: do we ever learn? The Journal of antimicrobial chemotherapy. 2008;61:235–237. doi: 10.1093/jac/dkm476. [DOI] [PubMed] [Google Scholar]
- 27.Foster DM, Martin LG, Papich MG. Comparison of Active Drug Concentrations in the Pulmonary Epithelial Lining Fluid and Interstitial Fluid of Calves Injected with Enrofloxacin, Florfenicol, Ceftiofur, or Tulathromycin. PloS one. 2016;11:e0149100. doi: 10.1371/journal.pone.0149100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Messenger KM, Papich MG, Blikslager AT. Distribution of enrofloxacin and its active metabolite, using an in vivo ultrafiltration sampling technique after the injection of enrofloxacin to pigs. Journal of veterinary pharmacology and therapeutics. 2012;35:452–459. doi: 10.1111/j.1365-2885.2011.01338.x. [DOI] [PubMed] [Google Scholar]
- 29.Menge M, et al. Pharmacokinetics of tildipirosin in bovine plasma, lung tissue, and bronchial fluid (from live, nonanesthetized cattle) Journal of veterinary pharmacology and therapeutics. 2012;35:550–559. doi: 10.1111/j.1365-2885.2011.01349.x. [DOI] [PubMed] [Google Scholar]
- 30.Bidgood TL, Papich MG. Plasma and interstitial fluid pharmacokinetics of enrofloxacin, its metabolite ciprofloxacin, and marbofloxacin after oral administration and a constant rate intravenous infusion in dogs. Journal of veterinary pharmacology and therapeutics. 2005;28:329–341. doi: 10.1111/j.1365-2885.2005.00664.x. [DOI] [PubMed] [Google Scholar]
- 31.Davis JL, Foster DM, Papich MG. Pharmacokinetics and tissue distribution of enrofloxacin and its active metabolite ciprofloxacin in calves. Journal of veterinary pharmacology and therapeutics. 2007;30:564–571. doi: 10.1111/j.1365-2885.2007.00914.x. [DOI] [PubMed] [Google Scholar]
- 32.Rood JI, Cole ST. Molecular genetics and pathogenesis of Clostridium perfringens. Microbiological reviews. 1991;55:621–648. doi: 10.1128/mr.55.4.621-648.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Burgess DS. Pharmacodynamic principles of antimicrobial therapy in the prevention of resistance. Chest. 1999;115:19s–23s. doi: 10.1378/chest.115.suppl_1.19S. [DOI] [PubMed] [Google Scholar]
- 34.Nielsen EI, et al. Semimechanistic pharmacokinetic/pharmacodynamic model for assessment of activity of antibacterial agents from time-kill curve experiments. Antimicrobial agents and chemotherapy. 2007;51:128–136. doi: 10.1128/AAC.00604-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Andes D, Craig WA. Animal model pharmacokinetics and pharmacodynamics: a critical review. International journal of antimicrobial agents. 2002;19:261–268. doi: 10.1016/S0924-8579(02)00022-5. [DOI] [PubMed] [Google Scholar]
- 36.Harmon DL, Richards CJ. Considerations for gastrointestinal cannulations in ruminants. Journal of animal science. 1997;75:2248–2255. doi: 10.2527/1997.7582248x. [DOI] [PubMed] [Google Scholar]
- 37.Garrison KE, Pasas SA, Cooper JD, Davies MI. A review of membrane sampling from biological tissues with applications in pharmacokinetics, metabolism and pharmacodynamics. European journal of pharmaceutical sciences: official journal of the European Federation for Pharmaceutical Sciences. 2002;17:1–12. doi: 10.1016/S0928-0987(02)00149-5. [DOI] [PubMed] [Google Scholar]
- 38.Zhao N, et al. Pharmacokinetics of Cyadox and Its Major Metabolites in Swine After Intravenous and Oral Administration. Journal of Integrative Agriculture. 2013;12:495–501. doi: 10.1016/S2095-3119(13)60250-6. [DOI] [Google Scholar]
- 39.Zhou YF, et al. Ex vivo pharmacokinetic/pharmacodynamic relationship of valnemulin against Clostridium perfringens in plasma, the small intestinal and caecal contents of rabbits. Anaerobe. 2016;39:150–157. doi: 10.1016/j.anaerobe.2016.04.005. [DOI] [PubMed] [Google Scholar]
- 40.Wang J, et al. Pharmacokinetic and Pharmacodynamic Integration and Modeling of Enrofloxacin in Swine for Escherichia coli. Frontiers in microbiology. 2016;7:36. doi: 10.3389/fmicb.2016.00036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Warren CD, et al. Implantation of an ultrafiltration device in the ileum and spiral colon of steers to continuously collect intestinal fluid. Research in veterinary science. 2014;97:611–615. doi: 10.1016/j.rvsc.2014.10.012. [DOI] [PubMed] [Google Scholar]
- 42.Huang L, Wang Y, Tao Y, Chen D, Yuan Z. Development of high performance liquid chromatographic methods for the determination of cyadox and its metabolites in plasma and tissues of chicken. Journal of chromatography. B, Analytical technologies in the biomedical and life sciences. 2008;874:7–14. doi: 10.1016/j.jchromb.2008.08.013. [DOI] [PubMed] [Google Scholar]
- 43.Yamaoka K, Nakagawa T, Uno T. Statistical moments in pharmacokinetics. Journal of pharmacokinetics and biopharmaceutics. 1978;6:547–558. doi: 10.1007/BF01062109. [DOI] [PubMed] [Google Scholar]
- 44.Toutain PL, del Castillo JR, Bousquet-Melou A. The pharmacokinetic-pharmacodynamic approach to a rational dosage regimen for antibiotics. Research in veterinary science. 2002;73:105–114. doi: 10.1016/S0034-5288(02)00039-5. [DOI] [PubMed] [Google Scholar]
- 45.Toutain PL, Bousquet-Melou A, Martinez M. AUC/MIC: a PK/PD index for antibiotics with a time dimension or simply a dimensionless scoring factor? The Journal of antimicrobial chemotherapy. 2007;60:1185–1188. doi: 10.1093/jac/dkm360. [DOI] [PubMed] [Google Scholar]